Special Session: The Human Face and Aging: Classifying, Modeling, Synthesizing, and Building Robust Recognition Technologies


Objectives:


Biometric technologies that use the human face for various applications have significantly improved over the past decade, but many problems are still quite challenging and have not yet been studied significantly by researchers. Many of these include "real-world" cases where the human face changes significantly. Perhaps the most important cause of changes in the face, and a cause that yields considerable differences, is aging. Aging and its effects on face-driven technologies, however, have only recently received attention. As a growing concern to a variety of fields, it is an area that needs consideration. How do we analyze and model changes in the human face due to the natural aging process.


Topics:


Submission of articles that address the special session's topics are invited, which includes (but is not limited to):

Are there ways to effectively synthesize accurate representations of the face in both two and three dimensions based on scientific and data-driven approaches versus artistic interpretations?

How do the changes in the face due to aging affect the most recent techniques in facial recognition technologies?

Can synthesized images or models improve these techniques?

Are there techniques to improve invariance to changes caused by aging?

Is age estimation/prediction viable from facial images?

How do you construct effective biometrics for the face that is invariant to aging (facial shape changes and soft tissue texture changes over time)?

It is becoming clear that these questions are very important to creating robust and holistic methods of recognizing, modeling, and synthesizing human faces, and it is an area that commands attention. This session will assist in bringing together those currently working in this area and also update as well as stimulate interest by new researchers.


Papers:


Submitted articles will use the conference format and will be submitted via email to ricanekk@uncw.edu (Chair).

View the call for papers here (PDF)


Program Committee:


Dr. Karl Ricanek, Jr (ricanekk@uncw.edu)
Director of Face Aging Group
Department of Computer Science, University of North Carolina Wilmington, Wilmington, North Carolina, USA

Dr. Edward Boone (elboone@vcu.edu)
Department of Operations Management & Statistics, Virginia Commonwealth University, Richmond Virginia, USA

Dr. Eric Patterson (pattersone@uncw.edu)
Department of Computer Science, University of North Carolina Wilmington, Wilmington, North Carolina, USA

Dr. Midori Albert (albertm@uncw.edu)
Department of Anthropology, University of North Carolina Wilmington, Wilmington, North Carolina, USA

Mrs. Amrutha Sethuram (seturama@uncw.edu)
Face Aging Group, University of North Carolina Wilmington, Wilmington, North Carolina, USA

Submission Instructions:

All submissions will be emailed to ricanekk@uncw.edu by 18 April 2008. No submissions will be reviewed after this date.

Contact:

The special session point of contact is Dr. Karl Ricanek.
Email: ricanekk@uncw.edu
Phone: 011 (910) 962-4261
Fax: 011 (910) 962-7274